Exam 2 F23

Actual p = 0.07 -- this is determined as the area related to:

Set alpha to 0.10 when:

Read the table as means with different superscripts are __ other means:

Most common CI is 95%; so, __ can be used in the equation for Z as a quick estimate

The research hypothesis for ANOVA is:

Actual p = 0.07 -- this also suggests the intervention has (CHOOSE TWO):

The test stat is calculated from the data -- so the sign of the test statistic should:

Alpha is the more serious error than Beta:

Type II error is (Pick two):

The probability of getting an A is 0.5 or B is 0.3 -- what is the probability of getting an A or B?

The probability of students passing exam 2 is 99.7%. What is the probability of NOT passing exam 2 as a decimal?

CI focus on this area of the curve:

Alpha is set by the researchers as the area in the (CHOOSE TWO):

In the figure, probability is:

Set alpha to 0.01 when:

If an ANOVA is significant, conduct __ to determine which means are different from which

Power is (Pick two):

So -- statistically, any CI that crosses 95% ___ from 95%:

In this example, a meam with "de" superscript is the same as means with __ superscript(s): CHOOSE TWO

As Power goes up, beta goes...

When using 95% CI to make hypothesis decisions -- those that overlap each other are __ different:

Alpha is also known as:

These TWO represent wrong hypothesis decisions (that is, errors):

The critical Z value is 1.645 -- with what sign(s) ?

Probability is NOT:

Dr. Appeddu wants to see blood O₂ levels to be over 95% -- as a statistical boundary, this is:

Confidence of an outcome occuring is the same as saying:

For p = 0.07, there is over 5% probability of making the __ hypothesis decision in concluding a Sig difference:

Actual p = 0.07 -- this suggests you may have:

Non parametric data is (CHOOSE TWO):

Clinically, blood O₂ levels should be over 95% -- desirable direction is:

Most common power:

You find a Sig effect at 0.01 -- will you find it at 0.05?

Setting alpha to 0.01 ___ the Type II error:

ANOVA compares:

We also did clinical statistics, which included:

The test stat ended up being +2.002 and CV is +1.645 -- you should (CHOOSE TWO):

When using 95% CI -- an outcome with a wider CI is:

In Unit 2, we did inferential statistics, which include (PICK TWO):

Most common alpha:

Confidence is:

Type I Error is known as:

The figure illustrates a __ test: (CHOOSE TWO):

Clinically, blood O₂ levels should be over 95% -- so, to be clinically important:

Actual p = 0.07 -- using the standard alpha, you should: (PICK TWO)

Power is: